Abstract
XML is an important data form. The size of query results on XML data is very large in some applications and in the distributed XML data management system, the transmission of query results become the bottleneck. For the efficiency of XML management system, the compression method for XML query results is studied in this paper. By exploiting the properties of query results on XML data, two compression methods are proposed. One is a G-bitmap algorithm as a variant of bitmap index. The other is based on tree structure. The experiments on real and manual data demonstrate the effectiveness and efficiency of our compression methods.
Supported by the National Science Foundation of China (No 60703012, 60773063), the NSFC-RGC of China(No. 60831160525), National Grant of Fundamental Research 973 Program of China (No.2006CB303000), National Grant of High Technology 863 Program of China (No. 2009AA01Z149), Key Program of the National Natural Science Foundation of China (No. 60933001), National Postdoctor Foundtaion of China (No. 20090450126), Development Program for Outstanding Young Teachers in Harbin Institute of Technology (no. HITQNJS.2009.052).
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Wang, Q., Wang, H., Gao, H., Li, J. (2010). Compression Algorithms for Structural Query Results on XML Data. In: Shen, H.T., et al. Web-Age Information Management. WAIM 2010. Lecture Notes in Computer Science, vol 6185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16720-1_15
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DOI: https://doi.org/10.1007/978-3-642-16720-1_15
Publisher Name: Springer, Berlin, Heidelberg
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